Syafeeza Ahmad Radzi

Technical University of Malaysia Malacca

Papers

Total Citations

H-Index

About

Syafeeza Ahmad Radzi is a leading researcher at the intersection of artificial intelligence and agricultural robotics. Her work focuses on leveraging deep learning for precision agriculture, particularly in the detection and classification of crop diseases and plant features. She has made significant contributions to the development of robotic vision systems, enabling automated monitoring and harvesting for crops like chili and solanaceous varieties. Her most cited paper, "Disease Detection of Solanaceous Crops Using Deep Learning for Robot Vision" (2022, 20 citations), addresses the critical challenge of automating disease identification to reduce reliance on manual inspection. In another influential study, "Classification and detection of chili and its flower using deep learning approach" (2020, 13 citations), she pioneered methods for detecting chili and its flowers, laying the groundwork for robotic harvesting. Radzi has also advanced simulation tools for agricultural robotics, as seen in her work on ROS 2 configuration for delta robot arms. Her research is highly impactful, with citations demonstrating its relevance to sustainable farming and food security. By integrating computer vision and robotics, Radzi is helping to transform traditional agriculture into a data-driven, automated industry.